Table 1 Focus areas for the DARE 2023 conference
From: NSF DARE—Transforming modeling in neurorehabilitation: Four threads for catalyzing progress
Focus area | Description |
|---|---|
Modeling adaptation and plasticity | How do we leverage modeling to understand neuroplasticity? How can the integration of novel imaging technologies, machine learning, and physiology-based models be used to understand the complex processes underlying beneficial neuroplasticity and adaptation that support learning and recovery? |
Modeling for personalization | A central challenge in rehabilitation is that each individual’s developmental, injury, treatment response, and long-term recovery trajectory is unique. However, it is necessary to first determine the degree of personalization required to optimize and support development and recovery in practice. How can we leverage large, diverse, and real-time datasets to support an appropriate and effective level of personalization to optimize outcomes? |
Modeling human–device interactions | Interconnected human-centered technology has become a critical part of function and rehabilitation—including development, acute care, training, and activities of daily living. However, neurorehabilitation requires new engineering approaches to support the design, interaction, integration, and control of devices to support development and recovery. How can modeling inform and accelerate this development? |
Modeling ‘in-the-wild’ | Rehabilitation does not end at the clinic’s door – it extends into and is meant to serve our daily lives and practices. How can modeling support rehabilitation in unstructured environments to offer actionable insights to support and promote recovery? How can modeling identify and help dismantle environmental and societal barriers that cause disability, as well as support and enhance activities of daily living? |